Snowflake Inc. (NYSE: Snow), a leader in cloud-based data warehousing and analytics, will report its second quarter results after the end of August 27th. The company is centrally located in the transformation of corporate data, providing its customers with a platform to store, manage and analyze data in the cloud. That role became even more important as organizations competed to integrate artificial intelligence into their workflows. Snowstock has risen by about 37% over the past year, outperforming large software peers that are volatile towards print at an affordable price.
The consensus seeks revenues of approximately $1.09 billion year-on-year and 25% year-on-year, adjusted to $0.27, an increase of 44% from the previous year. Analysts account for the majority of sales, as well as remaining performance obligations (RPOs), net revenue retention, and additional customers. City expects a “good beat” in the 3-4% range, meaning it will drive growth towards 30% year-over-year, and believes FY26's second half guidance could move to the 20S high-growth band. KeyB's study flagged early cortical adoption and potential competitive omissions via Iceberg, but suggested resilient demand for on-plame mobility and data engineering workloads.
First quarter product revenue was led to the first quarter of $1.035-$1.04 billion, accounting for 25% growth, with non-GAAP operating profit margin of about 8%. Revenue guidance for 2014 was set at $4.325 billion, an increase of 25%, with an operating profit margin of 8% and a free cash flow margin of nearly 25%. Investors are looking for upward revisions, especially as bullish analysts take (UBS, BAML, and MSCO) claim Snowflake is suitable for capturing multi-year enterprise cycles in the data tier. Wells Fargo recently noticed that the products and market mobility engines led by CEOs Sridhar Ramaswamy and Cro Mike Gannon have been reorganised under new leadership, so they have returned to the snow.
Last quarterSnowflake provided $997 million product revenue, up 26% from the previous year, with RPO of $6.7 billion, up 34%. Net revenue retention fell from 124% to 126%, but new customer additions were robust at 451, totaling over 8,900. Management highlighted the adoption of cortical AI, noting more than 5,200 active AI/ML accounts per week, as well as 125 new product features offered in the quarter. The company also unveils Gen2, the next generation warehouse designed to more than double the performance of analytics in its core workloads, positioning it as a premium, higher margin product.
Compared to these first quarter results, tonight The Q2 figures give a more clear look at whether net revenue retention and RPO stabilization can be further expanded. Investors will also focus on customer spending trends, particularly the customer cohort of customers, generating over $1 million or more product revenue for 12 months, and net customer momentum. Given concerns about the increased infrastructure costs associated with supporting AI workloads, gross profit and profitability are also highlighted. Events like the Snowflake Summit, which helped drive higher costs in the first quarter, also compare margin comparisons.
Analysts have a variety of views. Guggenheim believes the second quarter's target is achievable, but warns that growth that drives consensus may be tougher in the second half. Bernstein flagged the difference between RPO and net retention as a reason to expect upside down, but Citi and UBS are becoming more constructive, citing stronger partner checks and cortical traction. BAML called Snow multiple “reasonable” by upgrading its stocks for purchase earlier this month and improving free cash flow leverage and its expanded AI product set.
Here are some key issues investors will be looking at tonight: AI monetization – Management emphasizes that AI products like cortex are embedded in existing consumption rather than being sold as separate SKUs. Investors will want to be more clear about how these features drive incremental use and revenue. • Vertical Federal and Industry Towing – Snowflake has deployed new data cloud products for the public sector, manufacturing and government agencies. A victory update in these industries could broaden the story of growth. • Competitive dynamics – Questions about migration to open formats such as Iceberg and threats from Hyperscaler Solutions remain frontline and center. • Margin and infrastructure costs – Increased computational demand from AI workloads and event-driven spending can put pressure on margins. The street expects the total product margin to remain at about 75%. • Capital allocation – Snowflake repurchased $491 million in stock in the first quarter. Investors are looking for updates on how buybacks are considered in capital deployment.
Conclusion: Snowflake has entered Q2 report with a strong product pipeline, expanding its AI capabilities and updating its confidence under new leadership. Premium valuations of stocks (trading near 17x advance sales) almost removes margins due to errors, especially as expectations rise. The ability of management to show durable growth in product revenue, reaffirm steady retention metrics, and tell a reliable AI monetization story determines whether it can defy recent patterns of peers who have jumped into revenue for the snow to fade quickly.
